OWASP 2026 LLM Top 10: “The model will be fooled”

Source: Help Net Security

Author: Zeljka Zorz

URL: https://www.helpnetsecurity.com/2026/08/06/owasp-2026-llm-top-10-released/

https://www.helpnetsecurity.com/2026/08/06/owasp-2026-llm-top-10-released/

ONE SENTENCE SUMMARY:

OWASP’s 2026 LLM Top 10 blends expert consensus with incident data, reshuffling risks around agentic harm, misinformation, and containment.

MAIN POINTS:

1. OWASP released the 2026 Top 10 for LLM Applications, influenced by real incidents.
2. Prompt Injection and Sensitive Information Disclosure stayed top, while lower ranks shifted significantly.
3. Earlier lists relied purely on practitioner consensus voting to rank risks.
4. 2026 methodology weighted 75% expert votes and 25% incident-derived evidence.
5. Dataset included 6,639 real incidents from vulnerability databases and an AI-harm database.
6. Prompt Injection remained first despite few recorded incidents due to “defense effect.”
7. Misinformation rose two spots because incident data ranked it near the top.
8. Excessive Agency climbed to third as agentic deployments correlate with real-world damage.
9. Unbounded Consumption jumped four places, reflecting rising cost and resource exhaustion concerns.
10. Hidden Context Exposure replaced System Prompt Leakage; categories broadened to absorb cross-modal and fine-tuning subversion risks.

TAKEAWAYS:

1. Blending incident telemetry with expert judgment can materially reorder perceived GenAI security priorities.
2. Low incident counts may reflect strong mitigations, not low likelihood or impact.
3. Misinformation is a system-level risk when outputs trigger tools, code, authorization, or agent coordination.
4. Agentic capability increases blast radius, making excessive autonomy a top-tier security concern.
5. Focus on resilience and containment: expect models to be fooled and design systems so failures don’t matter.